Addressing antimicrobial resistance with the IDentif.AI platform: Rapidly optimizing clinically actionable combination therapy regimens against nontuberculous mycobacteria.

MLA

Mukherjee, Devika, et al. “Addressing Antimicrobial Resistance with the IDentif.AI Platform: Rapidly Optimizing Clinically Actionable Combination Therapy Regimens against Nontuberculous Mycobacteria.” Theranostics, vol. 12, no. 16, Sept. 2022, pp. 6848–64. EBSCOhost, https://doi.org/10.7150/thno.73078.

APA

Mukherjee, D., Wang, P., Hooi, L., Sandhu, V., You, K., Blasiak, A., Chow, E. K.-H., Ho, D., & Ee, P. L. R. (2022). Addressing antimicrobial resistance with the IDentif.AI platform: Rapidly optimizing clinically actionable combination therapy regimens against nontuberculous mycobacteria. Theranostics, 12(16), 6848–6864. https://doi.org/10.7150/thno.73078

Chicago

Mukherjee, Devika, Peter Wang, Lissa Hooi, Vedant Sandhu, Kui You, Agata Blasiak, Edward Kai-Hua Chow, Dean Ho, and Pui Lai Rachel Ee. 2022. “Addressing Antimicrobial Resistance with the IDentif.AI Platform: Rapidly Optimizing Clinically Actionable Combination Therapy Regimens against Nontuberculous Mycobacteria.” Theranostics 12 (16): 6848–64. doi:10.7150/thno.73078.